{"id":"https://openalex.org/W4402742863","doi":"https://doi.org/10.1109/tgrs.2024.3465667","title":"A Sparse Convolution Method to Reduce the Atmospheric Phase Screen of SAR Interferometry in the Coastal Region","display_name":"A Sparse Convolution Method to Reduce the Atmospheric Phase Screen of SAR Interferometry in the Coastal Region","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402742863","doi":"https://doi.org/10.1109/tgrs.2024.3465667"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3465667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3465667","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048043560","display_name":"Yi Shao","orcid":"https://orcid.org/0009-0004-9091-1680"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Shao","raw_affiliation_strings":["State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002193655","display_name":"Liming Jiang","orcid":"https://orcid.org/0000-0002-1127-9823"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Jiang","raw_affiliation_strings":["State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023971546","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-4910-608X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001314869","display_name":"Zhiwei Zhou","orcid":"https://orcid.org/0000-0003-3965-5453"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhou","raw_affiliation_strings":["State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054062096","display_name":"Shuangcheng Zhang","orcid":"https://orcid.org/0000-0003-0357-5312"},"institutions":[{"id":"https://openalex.org/I4210115513","display_name":"Xi\u2019an University","ror":"https://ror.org/01zzmf129","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115513"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangcheng Zhang","raw_affiliation_strings":["College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I4210115513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068816158","display_name":"Yuxing Chen","orcid":"https://orcid.org/0000-0001-9788-3556"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Yuxing Chen","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048043560"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":12.9958,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98235386,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.753247082233429},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.7530772686004639},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.630363404750824},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5173277854919434},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5004222393035889},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.4749358296394348},{"id":"https://openalex.org/keywords/atmospheric-wave","display_name":"Atmospheric wave","score":0.4711386561393738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4332577586174011},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.43033555150032043},{"id":"https://openalex.org/keywords/phase-unwrapping","display_name":"Phase unwrapping","score":0.4299171268939972},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3715915083885193},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28800421953201294},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.26576414704322815},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.22089916467666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19516903162002563},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1757906675338745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1678100824356079},{"id":"https://openalex.org/keywords/wave-propagation","display_name":"Wave propagation","score":0.10280513763427734}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.753247082233429},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.7530772686004639},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.630363404750824},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5173277854919434},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5004222393035889},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.4749358296394348},{"id":"https://openalex.org/C177707082","wikidata":"https://www.wikidata.org/wiki/Q757526","display_name":"Atmospheric wave","level":4,"score":0.4711386561393738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4332577586174011},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.43033555150032043},{"id":"https://openalex.org/C3020654733","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Phase unwrapping","level":3,"score":0.4299171268939972},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3715915083885193},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28800421953201294},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.26576414704322815},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.22089916467666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19516903162002563},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1757906675338745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1678100824356079},{"id":"https://openalex.org/C44886760","wikidata":"https://www.wikidata.org/wiki/Q1758425","display_name":"Wave propagation","level":2,"score":0.10280513763427734},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C185975314","wikidata":"https://www.wikidata.org/wiki/Q599451","display_name":"Gravity wave","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3465667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3465667","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G5212028933","display_name":null,"funder_award_id":"2021CFA028","funder_id":"https://openalex.org/F4320317780","funder_display_name":"Postdoctoral\u00a0Science\u00a0Foundation\u00a0of\u00a0Hubei\u00a0Province"},{"id":"https://openalex.org/G5661872829","display_name":null,"funder_award_id":"2019QZKK0905","funder_id":"https://openalex.org/F4320315329","funder_display_name":"Scientific Education and Research Foundation"},{"id":"https://openalex.org/G6202496227","display_name":null,"funder_award_id":"42304041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8654530448","display_name":null,"funder_award_id":"42174046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315329","display_name":"Scientific Education and Research Foundation","ror":"https://ror.org/029zvkg32"},{"id":"https://openalex.org/F4320317780","display_name":"Postdoctoral\u00a0Science\u00a0Foundation\u00a0of\u00a0Hubei\u00a0Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1484966959","https://openalex.org/W1664171571","https://openalex.org/W1672189226","https://openalex.org/W1672745209","https://openalex.org/W1981682330","https://openalex.org/W1986342060","https://openalex.org/W1999610203","https://openalex.org/W2001278639","https://openalex.org/W2004916651","https://openalex.org/W2007057722","https://openalex.org/W2010813660","https://openalex.org/W2017727533","https://openalex.org/W2037642501","https://openalex.org/W2038566498","https://openalex.org/W2047029664","https://openalex.org/W2065049085","https://openalex.org/W2065989874","https://openalex.org/W2070534498","https://openalex.org/W2097643261","https://openalex.org/W2098110296","https://openalex.org/W2128776560","https://openalex.org/W2130676538","https://openalex.org/W2133665775","https://openalex.org/W2150310489","https://openalex.org/W2152657318","https://openalex.org/W2154309921","https://openalex.org/W2158164858","https://openalex.org/W2171132619","https://openalex.org/W2413186595","https://openalex.org/W2508457857","https://openalex.org/W2562637781","https://openalex.org/W2618530766","https://openalex.org/W2883341436","https://openalex.org/W2885995970","https://openalex.org/W2886851716","https://openalex.org/W2892096864","https://openalex.org/W2899685604","https://openalex.org/W2945259314","https://openalex.org/W2963182550","https://openalex.org/W2963721253","https://openalex.org/W2966138591","https://openalex.org/W2969711050","https://openalex.org/W2989349076","https://openalex.org/W2997822790","https://openalex.org/W3088762838","https://openalex.org/W3114284068","https://openalex.org/W3118269909","https://openalex.org/W3170002058","https://openalex.org/W3196530826","https://openalex.org/W3209826039","https://openalex.org/W3213269499","https://openalex.org/W4249744610","https://openalex.org/W4251622134","https://openalex.org/W4303980723","https://openalex.org/W4322503889","https://openalex.org/W4379053196","https://openalex.org/W4383187110","https://openalex.org/W4391627602","https://openalex.org/W6674855086"],"related_works":["https://openalex.org/W2136049150","https://openalex.org/W2140481855","https://openalex.org/W1992176328","https://openalex.org/W2160795023","https://openalex.org/W2013804904","https://openalex.org/W2154720324","https://openalex.org/W2031888010","https://openalex.org/W2119099216","https://openalex.org/W2354809631","https://openalex.org/W2090246279"],"abstract_inverted_index":{"Effective":[0],"mitigation":[1],"of":[2,56,92,101,196,212],"atmospheric":[3,27,140],"phase":[4],"screen":[5],"(APS)":[6],"is":[7,178],"crucial":[8],"for":[9,53,72,76,145,183],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"interferometry":[14],"in":[15,25,88,97,208,214],"coastal":[16,90],"regions.":[17],"However,":[18],"existing":[19],"methods":[20],"suffer":[21],"from":[22,58,82],"various":[23],"limitations":[24],"estimating":[26],"delays,":[28],"especially":[29],"turbulent":[30],"mixing":[31],"components.":[32],"As":[33],"a":[34,38,46,65,95],"solution,":[35],"we":[36,63],"propose":[37,64],"sparse-convolution-based":[39],"attention":[40],"deep":[41,163],"residual":[42,164],"U-shaped":[43,165],"network":[44,51,159],"(sARU-Net),":[45],"submanifold":[47],"sparse":[48,202],"convolutional":[49,157],"neural":[50,158],"(SSCNN),":[52],"adaptive":[54],"estimation":[55],"APS":[57,213],"InSAR":[59,117,146,215],"coherent":[60,216],"pixels.":[61,217],"Moreover,":[62],"straightforward":[66],"and":[67,85,106,148,174,177],"effective":[68],"iterative":[69],"processing":[70,190],"strategy":[71],"generating":[73],"sample":[74],"datasets":[75,87],"model":[77,151],"training.":[78],"The":[79,194],"results":[80,118],"obtained":[81],"the":[83,98,102,116,123,127,138,149,197,210],"TerraSAR-X":[84],"Sentinel-1":[86],"two":[89],"regions":[91],"China":[93],"demonstrate":[94],"reduction":[96],"standard":[99],"deviation":[100],"interferograms":[103],"by":[104],"77.7%":[105],"68.3%,":[107],"respectively,":[108],"after":[109],"applying":[110],"our":[111,130,169],"correction":[112,141],"method.":[113,152],"In":[114],"addition,":[115],"align":[119],"more":[120,175,180],"closely":[121],"with":[122,136,155],"leveling":[124],"data.":[125],"On":[126],"same":[128],"dataset,":[129],"method":[131,147,199],"shows":[132,200],"superior":[133],"performance":[134],"compared":[135,154],"both":[137],"generic":[139],"online":[142],"service":[143],"(GACOS)":[144],"linear":[150],"When":[153],"previous":[156],"(CNN),":[160],"(i.e.,":[161],"attention-based":[162],"network,":[166],"ARU-Net)":[167],"method,":[168],"approach":[170],"exhibits":[171],"better":[172],"accuracy":[173],"detail":[176],"21%":[179],"computationally":[181],"efficient":[182],"training,":[184],"while":[185],"requiring":[186],"24%":[187],"less":[188],"graphics":[189],"unit":[191],"(GPU)":[192],"memory.":[193],"effectiveness":[195],"proposed":[198],"that":[201],"convolution":[203],"(SC)":[204],"has":[205],"great":[206],"potential":[207],"mitigating":[209],"effects":[211]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}